Borise/CaptionQA
๐ CaptionQA Benchmark A high-density, taxonomy-grounded benchmark for evaluating image caption quality and the alignment between image information and generated captions ๐ Paper: CaptionQA: Is Your Caption as Useful as the Image Itself? ๐ฆ Evaluation Code: GitHub Repository Sample Usage You can load the dataset using the Hugging Face datasets library: from datasets import load_dataset # Load the entire dataset dataset = load_dataset("Borise/CaptionQA") # Loadโฆ See the full description on the dataset page: https://huggingface.co/datasets/Borise/CaptionQA.
| Author / organization | Borise |
|---|---|
| License (as declared) | other |
| Downloads | 1.8K (as reported by Hugging Face) |
| Likes | 9 |
| Created | 24 November 2025 |
| Last updated at source | 13 December 2025 |
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- 16 Oct 2026 Description: ๐ CaptionQA Benchmark A high-density, taxonomy-grounded benchmark for evaluating image caption quality and the alignment between image information and generated captions ๐ Paper: CaptionQA: Is Your Caption as Useful as the Image Itself? ๏ฟฝ โ ๐ CaptionQA Benchmark A high-density, taxonomy-grounded benchmark for evaluating image caption quality and the alignment between image information and generated captions ๐ Paper: CaptionQA: Is Your Caption as Useful as the Image Itself? ๏ฟฝ
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